Jingrui He

Jingrui He

Professor and University Scholar, University of Illinois Urbana-Champaign

Jingrui He is a Professor in the School of Information Sciences at the University of Illinois Urbana-Champaign, with affiliations including the Siebel School of Computing and Data Science and NCSA, where she directs the iSAIL Lab. Her research covers heterogeneous machine learning, rare category analysis, weakly and semi-supervised learning, and graph neural networks, with applications in health and science. She is also a keynote speaker of the WSDM 2027 main conference.

Talk area: AI for science and agent harness design
Na Zou

Na Zou

Leading Scientist, Shanghai Artificial Intelligence Laboratory

Na Zou is a Leading Scientist at the Shanghai Artificial Intelligence Laboratory, and was previously on the faculty of the University of Houston and Texas A&M University. Her research develops effective, efficient, and trustworthy machine learning algorithms and foundation models, spanning shortcut learning, interpretable machine learning, transfer learning, and network modeling, with applications in health informatics and bioinformatics. Her honors include the NSF CAREER Award, the IEEE Irv Kaufman Award, and best paper awards at INFORMS, ICQSR, and AMIA.

Talk area: Agent auditing engines for auditing AI agent code, runtimes, and traces
Jieyu Zhao

Jieyu Zhao

Gabilan Assistant Professor, University of Southern California · Incoming Assistant Professor, HKUST

Jieyu Zhao is a Gabilan Assistant Professor in the Thomas Lord Department of Computer Science at the University of Southern California, where she leads the LIME Lab, and will join the Hong Kong University of Science and Technology in January 2027. Her research focuses on trustworthy language models and human-centered AI, building systems that are reliable, socially responsible, and aligned with human values. Her honors include the EMNLP 2017 Best Long Paper Award, the Microsoft PhD Fellowship, and recognition as one of the “100 Brilliant Women in AI Ethics”.

Talk area: Personalized agent systems

More keynote speakers will be announced soon.